Generated by Cython 3.0.5
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Click on a line that starts with a "+" to see the C code that Cython generated for it.
Raw output: clm.c
+0001: # cython: c_string_type=unicode
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0002: # cython: c_string_encoding=utf8
0003:
+0004: import ctypes
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+0005: from functools import singledispatch, partial
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+0006: import math
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+0007: import random
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+0008: import subprocess
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+0009: import tempfile
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+0010: import time
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+0011: import types
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0012: import cython
0013: from cython.cimports.cpython.mem import PyMem_Malloc, PyMem_Realloc, PyMem_Free
0014: from cython cimport view
+0015: import numpy as np
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0016: cimport numpy as np
+0017: import numpy.typing as npt
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0018: cimport pysndlib.cclm as cclm
0019: cimport pysndlib.csndlib as csndlib
+0020: from pysndlib.sndlib import Sample, Header
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+0021: import sys
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+0022: import os
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0023:
0024:
0025:
0026:
+0027: np.import_array()
__pyx_t_44 = __pyx_f_5numpy_import_array(); if (unlikely(__pyx_t_44 == ((int)-1))) __PYX_ERR(0, 27, __pyx_L1_error)
0028:
0029:
0030:
0031: # --------------- clm enums ---------------- #
+0032: cpdef enum Interp:
enum __pyx_t_8pysndlib_3clm_Interp {
__pyx_e_8pysndlib_3clm_NONE,
__pyx_e_8pysndlib_3clm_LINEAR,
__pyx_e_8pysndlib_3clm_SINUSOIDAL,
__pyx_e_8pysndlib_3clm_ALL_PASS,
__pyx_e_8pysndlib_3clm_LAGRANGE,
__pyx_e_8pysndlib_3clm_BEZIER,
__pyx_e_8pysndlib_3clm_HERMITE
};
0033: """
0034: various interpolation types
0035: """
0036: NONE, LINEAR,SINUSOIDAL, ALL_PASS, LAGRANGE, BEZIER, HERMITE
0037:
+0038: cpdef enum Window:
enum __pyx_t_8pysndlib_3clm_Window {
__pyx_e_8pysndlib_3clm_RECTANGULAR,
__pyx_e_8pysndlib_3clm_HANN,
__pyx_e_8pysndlib_3clm_WELCH,
__pyx_e_8pysndlib_3clm_PARZEN,
__pyx_e_8pysndlib_3clm_BARTLETT,
__pyx_e_8pysndlib_3clm_HAMMING,
__pyx_e_8pysndlib_3clm_BLACKMAN2,
__pyx_e_8pysndlib_3clm_BLACKMAN3,
__pyx_e_8pysndlib_3clm_BLACKMAN4,
__pyx_e_8pysndlib_3clm_EXPONENTIAL,
__pyx_e_8pysndlib_3clm_RIEMANN,
__pyx_e_8pysndlib_3clm_KAISER,
__pyx_e_8pysndlib_3clm_CAUCHY,
__pyx_e_8pysndlib_3clm_POISSON,
__pyx_e_8pysndlib_3clm_GAUSSIAN,
__pyx_e_8pysndlib_3clm_TUKEY,
__pyx_e_8pysndlib_3clm_DOLPH_CHEBYSHEV,
__pyx_e_8pysndlib_3clm_HANN_POISSON,
__pyx_e_8pysndlib_3clm_CONNES,
__pyx_e_8pysndlib_3clm_SAMARAKI,
__pyx_e_8pysndlib_3clm_ULTRASPHERICAL,
__pyx_e_8pysndlib_3clm_BARTLETT_HANN,
__pyx_e_8pysndlib_3clm_BOHMAN,
__pyx_e_8pysndlib_3clm_FLAT_TOP,
__pyx_e_8pysndlib_3clm_BLACKMAN5,
__pyx_e_8pysndlib_3clm_BLACKMAN6,
__pyx_e_8pysndlib_3clm_BLACKMAN7,
__pyx_e_8pysndlib_3clm_BLACKMAN8,
__pyx_e_8pysndlib_3clm_BLACKMAN9,
__pyx_e_8pysndlib_3clm_BLACKMAN10,
__pyx_e_8pysndlib_3clm_RV2,
__pyx_e_8pysndlib_3clm_RV3,
__pyx_e_8pysndlib_3clm_RV4,
__pyx_e_8pysndlib_3clm_MLT_SINE,
__pyx_e_8pysndlib_3clm_PAPOULIS,
__pyx_e_8pysndlib_3clm_DPSS,
__pyx_e_8pysndlib_3clm_SINC
};
0039: """
0040: many useful windows
0041: """
0042: RECTANGULAR, HANN, WELCH, PARZEN, BARTLETT, HAMMING, BLACKMAN2, BLACKMAN3, BLACKMAN4, EXPONENTIAL, RIEMANN, KAISER, CAUCHY, POISSON, GAUSSIAN, TUKEY, DOLPH_CHEBYSHEV, HANN_POISSON, CONNES, SAMARAKI, ULTRASPHERICAL, BARTLETT_HANN, BOHMAN, FLAT_TOP, BLACKMAN5, BLACKMAN6, BLACKMAN7, BLACKMAN8, BLACKMAN9, BLACKMAN10, RV2, RV3, RV4, MLT_SINE, PAPOULIS, DPSS, SINC,
0043:
+0044: cpdef enum Spectrum:
enum __pyx_t_8pysndlib_3clm_Spectrum {
__pyx_e_8pysndlib_3clm_IN_DB,
__pyx_e_8pysndlib_3clm_NORMALIZED,
__pyx_e_8pysndlib_3clm_RAW
};
0045: """
0046: types of normalizations when using the spectrum function. The results are in dB if IN_DB, or linear and normalized to 1.0 NORMALIZED, or linear unnormalized RAW
0047: """
0048: IN_DB, NORMALIZED, RAW
0049:
+0050: cpdef enum Polynomial:
enum __pyx_t_8pysndlib_3clm_Polynomial {
__pyx_e_8pysndlib_3clm_EITHER_KIND,
__pyx_e_8pysndlib_3clm_FIRST_KIND,
__pyx_e_8pysndlib_3clm_SECOND_KIND,
__pyx_e_8pysndlib_3clm_BOTH_KINDS
};
0051: """
0052: used for polynomial based gens
0053: """
0054: EITHER_KIND, FIRST_KIND, SECOND_KIND, BOTH_KINDS
0055:
0056:
0057:
0058: # --------------- function types for ctypes ---------------- #
+0059: INPUTCALLBACK = ctypes.CFUNCTYPE(ctypes.c_double, ctypes.c_void_p, ctypes.c_int)
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+0060: EDITCALLBACK = ctypes.CFUNCTYPE(ctypes.c_int, ctypes.c_void_p)
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0142:
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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); /*proto*/
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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#if !CYTHON_METH_FASTCALL
CYTHON_UNUSED Py_ssize_t __pyx_nargs;
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CYTHON_FALLTHROUGH;
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(void)__Pyx_Arg_NewRef_FASTCALL(values[0]);
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0152:
0153:
+0154: def compare_shapes(arr1: npt.NDArray[np.float64], arr2: npt.NDArray[np.float64]):
/* Python wrapper */
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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CYTHON_UNUSED Py_ssize_t __pyx_nargs;
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+0155: if arr1.shape != arr2.shape:
__pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_arr1, __pyx_n_s_shape); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 155, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_arr2, __pyx_n_s_shape); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 155, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = PyObject_RichCompare(__pyx_t_1, __pyx_t_2, Py_NE); __Pyx_XGOTREF(__pyx_t_3); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 155, __pyx_L1_error) __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_4 < 0))) __PYX_ERR(0, 155, __pyx_L1_error) __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (unlikely(__pyx_t_4)) { /* … */ }
+0156: raise RuntimeError(f'ndarrays of unequal shape {arr1.shape } vs. {arr2.shape }.')
__pyx_t_3 = PyTuple_New(5); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 156, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = 0; __pyx_t_6 = 127; __Pyx_INCREF(__pyx_kp_u_ndarrays_of_unequal_shape); __pyx_t_5 += 26; __Pyx_GIVEREF(__pyx_kp_u_ndarrays_of_unequal_shape); PyTuple_SET_ITEM(__pyx_t_3, 0, __pyx_kp_u_ndarrays_of_unequal_shape); __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_v_arr1, __pyx_n_s_shape); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 156, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __pyx_t_1 = __Pyx_PyObject_FormatSimple(__pyx_t_2, __pyx_empty_unicode); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 156, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_6 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_1) > __pyx_t_6) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_1) : __pyx_t_6; __pyx_t_5 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_1); __Pyx_GIVEREF(__pyx_t_1); PyTuple_SET_ITEM(__pyx_t_3, 1, __pyx_t_1); __pyx_t_1 = 0; __Pyx_INCREF(__pyx_kp_u_vs); __pyx_t_5 += 5; __Pyx_GIVEREF(__pyx_kp_u_vs); PyTuple_SET_ITEM(__pyx_t_3, 2, __pyx_kp_u_vs); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_v_arr2, __pyx_n_s_shape); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 156, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = __Pyx_PyObject_FormatSimple(__pyx_t_1, __pyx_empty_unicode); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 156, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_6 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_2) > __pyx_t_6) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_2) : __pyx_t_6; __pyx_t_5 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); PyTuple_SET_ITEM(__pyx_t_3, 3, __pyx_t_2); __pyx_t_2 = 0; __Pyx_INCREF(__pyx_kp_u__3); __pyx_t_5 += 1; __Pyx_GIVEREF(__pyx_kp_u__3); PyTuple_SET_ITEM(__pyx_t_3, 4, __pyx_kp_u__3); __pyx_t_2 = __Pyx_PyUnicode_Join(__pyx_t_3, 5, __pyx_t_5, __pyx_t_6); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 156, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_RuntimeError, __pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 156, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __Pyx_Raise(__pyx_t_3, 0, 0, 0); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __PYX_ERR(0, 156, __pyx_L1_error)
0157:
+0158: csndlib.mus_error_set_handler(<csndlib.mus_error_handler_t *>clm_error_handler)
(void)(mus_error_set_handler(((mus_error_handler_t *)__pyx_f_8pysndlib_3clm_clm_error_handler)));
0159:
0160:
+0161: cdef bint is_simple_filter(gen: mus_any):
static int __pyx_f_8pysndlib_3clm_is_simple_filter(struct __pyx_obj_8pysndlib_3clm_mus_any *__pyx_v_gen) {
int __pyx_r;
/* … */
/* function exit code */
__pyx_L0:;
return __pyx_r;
}
+0162: return cclm.mus_is_one_zero(gen._ptr) or cclm.mus_is_one_pole(gen._ptr) or cclm.mus_is_two_zero(gen._ptr) or cclm.mus_is_two_pole(gen._ptr)
__pyx_t_2 = mus_is_one_zero(__pyx_v_gen->_ptr);
if (!__pyx_t_2) {
} else {
__pyx_t_1 = __pyx_t_2;
goto __pyx_L3_bool_binop_done;
}
__pyx_t_2 = mus_is_one_pole(__pyx_v_gen->_ptr);
if (!__pyx_t_2) {
} else {
__pyx_t_1 = __pyx_t_2;
goto __pyx_L3_bool_binop_done;
}
__pyx_t_2 = mus_is_two_zero(__pyx_v_gen->_ptr);
if (!__pyx_t_2) {
} else {
__pyx_t_1 = __pyx_t_2;
goto __pyx_L3_bool_binop_done;
}
__pyx_t_2 = mus_is_two_pole(__pyx_v_gen->_ptr);
__pyx_t_1 = __pyx_t_2;
__pyx_L3_bool_binop_done:;
__pyx_r = __pyx_t_1;
goto __pyx_L0;
0163:
0164:
0165: # cdef bint is_poly(gen: mus_any):
0166: # return cclm.mus_is_polywave(gen._ptr) or cclm.mus_is_polyshape(gen._ptr)
0167:
0168: # todo add mus_set_xcoeff and mus_set_ycoeff
0169:
0170: # --------------- extension types ---------------- #
0171:
+0172: cdef class mus_any:
struct __pyx_obj_8pysndlib_3clm_mus_any {
PyObject_HEAD
struct __pyx_vtabstruct_8pysndlib_3clm_mus_any *__pyx_vtab;
mus_any *_ptr;
int ptr_owner;
input_cb _inputcallback;
edit_cb _editcallback;
analyze_cb _analyzecallback;
synthesize_cb _synthesizecallback;
PyObject *_cache;
mus_float_t *_data_ptr;
PyArrayObject *_data;
mus_float_t *_xcoeffs_ptr;
PyArrayObject *_xcoeffs;
mus_float_t *_ycoeffs_ptr;
PyArrayObject *_ycoeffs;
mus_float_t *_pv_amp_increments_ptr;
PyArrayObject *_pv_amp_increments;
mus_float_t *_pv_amps_ptr;
PyArrayObject *_pv_amps;
mus_float_t *_pv_freqs_ptr;
PyArrayObject *_pv_freqs;
mus_float_t *_pv_phases_ptr;
PyArrayObject *_pv_phases;
mus_float_t *_pv_phase_increments_ptr;
PyArrayObject *_pv_phase_increments;
};
/* … */
struct __pyx_vtabstruct_8pysndlib_3clm_mus_any {
struct __pyx_obj_8pysndlib_3clm_mus_any *(*from_ptr)(mus_any *, struct __pyx_opt_args_8pysndlib_3clm_7mus_any_from_ptr *__pyx_optional_args);
PyObject *(*cache_append)(struct __pyx_obj_8pysndlib_3clm_mus_any *, PyObject *, int __pyx_skip_dispatch);
PyObject *(*cache_extend)(struct __pyx_obj_8pysndlib_3clm_mus_any *, PyObject *, int __pyx_skip_dispatch);
PyObject *(*set_up_data)(struct __pyx_obj_8pysndlib_3clm_mus_any *, int __pyx_skip_dispatch);
PyObject *(*set_up_xcoeffs)(struct __pyx_obj_8pysndlib_3clm_mus_any *, int __pyx_skip_dispatch);
PyObject *(*set_up_ycoeffs)(struct __pyx_obj_8pysndlib_3clm_mus_any *, int __pyx_skip_dispatch);
PyObject *(*set_up_pv_data)(struct __pyx_obj_8pysndlib_3clm_mus_any *, int __pyx_skip_dispatch);
};
static struct __pyx_vtabstruct_8pysndlib_3clm_mus_any *__pyx_vtabptr_8pysndlib_3clm_mus_any;
0173: """
0174: a wrapper class for mus_any pointers in c
0175:
0176: instances of this class have the following properties, which may be
0177: used if supported by the type of generator used to make the instance:
0178:
0179:
0180: """
0181:
0182: cdef cclm.mus_any *_ptr
0183: cdef bint ptr_owner
0184: cdef cclm.input_cb _inputcallback
0185: cdef cclm.edit_cb _editcallback
0186: cdef cclm.analyze_cb _analyzecallback
0187: cdef cclm.synthesize_cb _synthesizecallback
0188: cdef list _cache
0189: cdef cclm.mus_float_t* _data_ptr
0190: cdef np.ndarray _data
0191: cdef cclm.mus_float_t* _xcoeffs_ptr
0192: cdef np.ndarray _xcoeffs
0193: cdef cclm.mus_float_t* _ycoeffs_ptr
0194: cdef np.ndarray _ycoeffs
0195: cdef cclm.mus_float_t* _pv_amp_increments_ptr
0196: cdef np.ndarray _pv_amp_increments
0197: cdef cclm.mus_float_t* _pv_amps_ptr
0198: cdef np.ndarray _pv_amps
0199: cdef cclm.mus_float_t* _pv_freqs_ptr
0200: cdef np.ndarray _pv_freqs
0201: cdef cclm.mus_float_t* _pv_phases_ptr
0202: cdef np.ndarray _pv_phases
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0656:
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struct __pyx_opt_args_8pysndlib_3clm_ndarray2file {
int __pyx_n;
PyObject *length;
PyObject *sr;
PyObject *sample_type;
PyObject *header_type;
PyObject *comment;
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0667: """
0668: write an ndarray of samples to file
0669:
0670: :param filename: name of file
0671: :param arr: np.ndarray of samples
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0677: :rtype: int
0678:
0679:
0680: """
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0688:
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0690:
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1330:
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1332: """
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1344:
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1587: """
1588: take a list or np.ndarray of partials (harmonic number and associated amplitude) and produce a
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1590:
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1598: """
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1847: """
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1869: """
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1874:
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1880: :param length: duration \in samples
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1882: :rtype: mus_any
1883:
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1890:
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/* … */
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1895:
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1897:
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1901:
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/* … */
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1903: """
1904: next sample from envelope generator.
1905:
1906: :param gen: env gen
1907: :rtype: float
1908: """
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1931: """
1932: value of envelope env at x.
1933:
1934: :param x: location \in envelope
1935: :param env: env gen
1936: :rtype: float
1937: """
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1939:
1940: # this is slow because of needing ctypes to define function at runtime
1941: # but no other way to do it with cython without changing sndlib code
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1943: """
1944: generate env output using conncection_func to 'connect the dots'.
1945:
1946: the env-any connecting function takes one argument, the current envelope value treated as going between 0.0 and 1.0 between each two points.
1947: :param env: env gen
1948: :param connection_function: function used to connect points
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1955:
1956:
1957: # ---------------- pulsed-env ---------------- #
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1959: """
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1982:
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1984: """
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1986:
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1997: """
1998: returns True if gen is a pulsed_env.
1999:
2000: :param gen: gen
2001: :rtype: bool
2002: """
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2004:
2005: # todo envelope-interp different than env-interp
2006:
2007: # ---------------- table-lookup ---------------- #
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2035:
+2036: cdef double [:] wave_view = wave
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2037:
2038:
2039: #print(frequency, initial_phase, wave, size, interp_type)
+2040: gen = mus_any.from_ptr(cclm.mus_make_table_lookup(frequency, initial_phase, &wave_view[0], size, interp_type))
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+2041: gen.cache_append(wave)
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2043:
+2044: cpdef cython.double table_lookup(gen: mus_any, fm: Optional[float]=None):
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2045: """
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2056:
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2097: """
2098: return a new polynomial-based waveshaping generator. make_polywave(440.0, partials=[1.0,1.0]) is
2099: the same \in effect as make_oscil.
2100:
2101: :param frequency: polywave frequency
2102: :param partials: a list of harmonic numbers and their associated amplitudes
2103: :param kind: Chebyshev polynomial choice
2104: :param xcoeffs: tn for tu-sum case
2105: :param ycoeffs: un for tu-sum case
2106: :return: polywave gen
2107: :rtype: mus_any
2108: """
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2154:
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2217:
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2219: """
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2241:
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2329:
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2479:
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2529: """
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2589: """
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2620:
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2668:
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2763: """
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2810: """
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2815: :param b1: coefficient
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2822:
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2858: """
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2868: """
2869: returns True if gen is a one_zero.
2870:
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2872: :rtype: bool
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2875:
2876: # make def for *args. are there other ways
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2878: """
2879: return a new two_pole filter: y(n) = a0 x(n) - b1 y(n-1) - b2 y(n-2).
2880:
2881: :param frequency: Center frequency \in Hz
2882: :param radius: Radius of filter. Refers to the unit circle, so it should be between 0.0 and (less than) 1.0.
2883: :param kwargs: If frequency and radius not provided, these should be keyword arguments 'a0', 'b1', 'b2'
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2885: :rtype: mus_any
2886: """
2887:
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+2890: return mus_any.from_ptr(cclm.mus_make_two_pole(kwargs.get('a0'), kwargs.get('b1'), kwargs.get('b2')))
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2891: else:
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2893:
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2897: else:
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2899:
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2901: """
2902: two pole filter of input.
2903:
2904: :param gen: two_pole gen
2905: :param insig: input
2906: :rtype: float
2907:
2908: """
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2912: """
2913: returns True if gen is a two_pole.
2914:
2915: :param gen: gen
2916: :rtype: bool
2917: """
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#if !CYTHON_METH_FASTCALL #if CYTHON_ASSUME_SAFE_MACROS __pyx_nargs = PyTuple_GET_SIZE(__pyx_args); #else __pyx_nargs = PyTuple_Size(__pyx_args); if (unlikely(__pyx_nargs < 0)) return NULL; #endif #endif __pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs); __pyx_v_kwargs = PyDict_New(); if (unlikely(!__pyx_v_kwargs)) return NULL; __Pyx_GOTREF(__pyx_v_kwargs); { PyObject **__pyx_pyargnames[] = {&__pyx_n_s_frequency,&__pyx_n_s_radius,0}; PyObject* values[2] = {0,0}; values[0] = __Pyx_Arg_NewRef_FASTCALL(((PyObject *)Py_None)); values[1] = __Pyx_Arg_NewRef_FASTCALL(((PyObject *)Py_None)); if (__pyx_kwds) { Py_ssize_t kw_args; switch (__pyx_nargs) { case 2: values[1] = __Pyx_Arg_FASTCALL(__pyx_args, 1); CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_Arg_FASTCALL(__pyx_args, 0); CYTHON_FALLTHROUGH; case 0: break; default: goto __pyx_L5_argtuple_error; } kw_args = __Pyx_NumKwargs_FASTCALL(__pyx_kwds); switch (__pyx_nargs) { case 0: if (kw_args > 0) { PyObject* value = __Pyx_GetKwValue_FASTCALL(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_frequency); if (value) { values[0] = __Pyx_Arg_NewRef_FASTCALL(value); kw_args--; } else if (unlikely(PyErr_Occurred())) __PYX_ERR(0, 2921, __pyx_L3_error) } CYTHON_FALLTHROUGH; case 1: if (kw_args > 0) { PyObject* value = __Pyx_GetKwValue_FASTCALL(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_radius); if (value) { values[1] = __Pyx_Arg_NewRef_FASTCALL(value); kw_args--; } else if (unlikely(PyErr_Occurred())) __PYX_ERR(0, 2921, __pyx_L3_error) } } if (unlikely(kw_args > 0)) { const Py_ssize_t kwd_pos_args = __pyx_nargs; if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, __pyx_v_kwargs, values + 0, kwd_pos_args, "make_two_zero") < 0)) __PYX_ERR(0, 2921, __pyx_L3_error) } } else { switch (__pyx_nargs) { case 2: values[1] = __Pyx_Arg_FASTCALL(__pyx_args, 1); CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_Arg_FASTCALL(__pyx_args, 0); CYTHON_FALLTHROUGH; case 0: break; default: goto __pyx_L5_argtuple_error; } } __pyx_v_frequency = values[0]; __pyx_v_radius = values[1]; } goto __pyx_L6_skip; 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/* … */ /* function exit code */ __pyx_L1_error:; __Pyx_XDECREF(__pyx_t_3); __Pyx_AddTraceback("pysndlib.clm.make_two_zero", __pyx_clineno, __pyx_lineno, __pyx_filename); __pyx_r = NULL; __pyx_L0:; __Pyx_XGIVEREF(__pyx_r); __Pyx_RefNannyFinishContext(); return __pyx_r; } /* … */ __pyx_t_41 = __Pyx_PyDict_NewPresized(2); if (unlikely(!__pyx_t_41)) __PYX_ERR(0, 2921, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_41); if (PyDict_SetItem(__pyx_t_41, __pyx_n_s_frequency, __pyx_kp_s_Optional) < 0) __PYX_ERR(0, 2921, __pyx_L1_error) if (PyDict_SetItem(__pyx_t_41, __pyx_n_s_radius, __pyx_kp_s_Optional) < 0) __PYX_ERR(0, 2921, __pyx_L1_error) __pyx_t_40 = __Pyx_CyFunction_New(&__pyx_mdef_8pysndlib_3clm_311make_two_zero, 0, __pyx_n_s_make_two_zero, NULL, __pyx_n_s_pysndlib_clm, __pyx_d, ((PyObject *)__pyx_codeobj__372)); if (unlikely(!__pyx_t_40)) __PYX_ERR(0, 2921, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_40); __Pyx_CyFunction_SetDefaultsTuple(__pyx_t_40, __pyx_tuple__108); __Pyx_CyFunction_SetAnnotationsDict(__pyx_t_40, __pyx_t_41); __Pyx_DECREF(__pyx_t_41); __pyx_t_41 = 0; if (PyDict_SetItem(__pyx_d, __pyx_n_s_make_two_zero, __pyx_t_40) < 0) __PYX_ERR(0, 2921, __pyx_L1_error) __Pyx_DECREF(__pyx_t_40); __pyx_t_40 = 0; /* … */ __pyx_codeobj__372 = (PyObject*)__Pyx_PyCode_New(2, 0, 0, 3, 0, CO_OPTIMIZED|CO_NEWLOCALS|CO_VARKEYWORDS, __pyx_empty_bytes, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_tuple__368, __pyx_empty_tuple, __pyx_empty_tuple, __pyx_kp_s_src_pysndlib_clm_pyx, __pyx_n_s_make_two_zero, 2921, __pyx_empty_bytes); if (unlikely(!__pyx_codeobj__372)) __PYX_ERR(0, 2921, __pyx_L1_error)
2922: """
2923: return a new two_zero filter: y(n) = a0 x(n) + a1 x(n-1) + a2 x(n-2).
2924:
2925: :param frequency: Center frequency \in Hz
2926: :param radius: Radius of filter. Refers to the unit circle, so it should be between 0.0 and (less than) 1.0.
2927: :param kwargs: If frequency and radius not provided, these should be keyword arguments 'a0', 'a1', 'a2'
2928: :return: two_zero gen
2929: :rtype: mus_any
2930: """
2931:
+2932: if kwargs:
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+2933: if 'a0' in kwargs and 'a1' in kwargs and 'a1' in kwargs:
__pyx_t_2 = (__Pyx_PyDict_ContainsTF(__pyx_n_s_a0, __pyx_v_kwargs, Py_EQ)); if (unlikely((__pyx_t_2 < 0))) __PYX_ERR(0, 2933, __pyx_L1_error) if (__pyx_t_2) { } else { __pyx_t_1 = __pyx_t_2; goto __pyx_L5_bool_binop_done; } __pyx_t_2 = (__Pyx_PyDict_ContainsTF(__pyx_n_s_a1, __pyx_v_kwargs, Py_EQ)); if (unlikely((__pyx_t_2 < 0))) __PYX_ERR(0, 2933, __pyx_L1_error) if (__pyx_t_2) { } else { __pyx_t_1 = __pyx_t_2; goto __pyx_L5_bool_binop_done; } __pyx_t_2 = (__Pyx_PyDict_ContainsTF(__pyx_n_s_a1, __pyx_v_kwargs, Py_EQ)); if (unlikely((__pyx_t_2 < 0))) __PYX_ERR(0, 2933, __pyx_L1_error) __pyx_t_1 = __pyx_t_2; __pyx_L5_bool_binop_done:; if (likely(__pyx_t_1)) { /* … */ }
+2934: return mus_any.from_ptr(cclm.mus_make_two_zero(kwargs.get('a0'), kwargs.get('a1'), kwargs.get('a2')))
__Pyx_XDECREF(__pyx_r); __pyx_t_3 = __Pyx_PyDict_GetItemDefault(__pyx_v_kwargs, __pyx_n_s_a0, Py_None); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 2934, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_4 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_4 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 2934, __pyx_L1_error) __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = __Pyx_PyDict_GetItemDefault(__pyx_v_kwargs, __pyx_n_s_a1, Py_None); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 2934, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_5 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 2934, __pyx_L1_error) __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = __Pyx_PyDict_GetItemDefault(__pyx_v_kwargs, __pyx_n_s_a2, Py_None); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 2934, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_6 = __pyx_PyFloat_AsDouble(__pyx_t_3); if (unlikely((__pyx_t_6 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 2934, __pyx_L1_error) __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = ((PyObject *)__pyx_vtabptr_8pysndlib_3clm_mus_any->from_ptr(mus_make_two_zero(__pyx_t_4, __pyx_t_5, __pyx_t_6), NULL)); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 2934, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_r = __pyx_t_3; __pyx_t_3 = 0; goto __pyx_L0;
2935: else:
+2936: raise KeyError(f'Filter needs values for a0, a1, a2')
/*else*/ {
__pyx_t_3 = __Pyx_PyObject_Call(__pyx_builtin_KeyError, __pyx_tuple__38, NULL); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 2936, __pyx_L1_error)
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/* … */
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2937:
2938: else:
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/*else*/ {
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goto __pyx_L9_bool_binop_done;
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__pyx_L9_bool_binop_done:;
if (likely(__pyx_t_1)) {
/* … */
}
+2940: return mus_any.from_ptr(cclm.mus_make_two_zero_from_frequency_and_radius(frequency, radius))
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2941: else:
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/*else*/ {
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2943:
+2944: cpdef cython.double two_zero(gen: mus_any, insig: float):
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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/* … */
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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CYTHON_UNUSED Py_ssize_t __pyx_nargs;
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2978:
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2980:
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2982: """
2983: next sample from formant generator.
2984:
2985: :param gen: formant gen
2986: :param insig: input value
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2989:
2990: """
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2995:
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2999:
3000: :param gen: gen
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3007: """
3008: return a new formant-bank generator.
3009:
3010: :param filters: list of filter gens
3011: :param amps: list of amps to apply to filters
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3307:
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3418:
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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PyObject *__pyx_args, PyObject *__pyx_kwds
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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3420: """
3421: comb filter val, pm changes the delay length.
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3423: :param gen: comb gen
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3432:
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3444: """
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3464: """
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/* … */
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/* … */
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3533:
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/* … */
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
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CYTHON_FALLTHROUGH;
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3559: """
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3561:
3562: :param fcombs: list of filtered_comb gens
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3564: :rtype: mus_any
3565: """
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__pyx_t_2 = __Pyx_PyObject_Call(__pyx_builtin_TypeError, __pyx_tuple__43, NULL); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 3568, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __Pyx_Raise(__pyx_t_2, 0, 0, 0); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __PYX_ERR(0, 3568, __pyx_L1_error) /* … */ __pyx_tuple__43 = PyTuple_Pack(1, __pyx_kp_u_filter_list_contains_at_least_on_2); if (unlikely(!__pyx_tuple__43)) __PYX_ERR(0, 3568, __pyx_L1_error) __Pyx_GOTREF(__pyx_tuple__43); __Pyx_GIVEREF(__pyx_tuple__43);
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3571:
+3572: gen = mus_any.from_ptr(cclm.mus_make_filtered_comb_bank(len(fcombs), fcomb_array.data))
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3577: """
3578: sum an array of filtered_comb filters.
3579:
3580: :param gen: filtered_comb gen
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3602:
3603: """
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3606:
3607: :param feedforward: scaler on input
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3612: :param type: interpolation type
3613: :return: comb gen
3614: :rtype: mus_any
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3627:
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/* … */
goto __pyx_L7;
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/* … */
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3633:
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3639:
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if (__pyx_t_7) {
/* … */
goto __pyx_L9;
}
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3646:
+3647: cpdef cython.double notch(gen: mus_any, insig: float, pm: Optional[float]=None):
static PyObject *__pyx_pw_8pysndlib_3clm_393notch(PyObject *__pyx_self,
#if CYTHON_METH_FASTCALL
PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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PyObject *__pyx_args, PyObject *__pyx_kwds
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); /*proto*/
static double __pyx_f_8pysndlib_3clm_notch(struct __pyx_obj_8pysndlib_3clm_mus_any *__pyx_v_gen, double __pyx_v_insig, CYTHON_UNUSED int __pyx_skip_dispatch, struct __pyx_opt_args_8pysndlib_3clm_notch *__pyx_optional_args) {
PyObject *__pyx_v_pm = ((PyObject *)Py_None);
double __pyx_r;
if (__pyx_optional_args) {
if (__pyx_optional_args->__pyx_n > 0) {
__pyx_v_pm = __pyx_optional_args->pm;
}
}
/* … */
/* function exit code */
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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PyObject *__pyx_args, PyObject *__pyx_kwds
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double __pyx_v_insig;
PyObject *__pyx_v_pm = 0;
#if !CYTHON_METH_FASTCALL
CYTHON_UNUSED Py_ssize_t __pyx_nargs;
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CYTHON_UNUSED PyObject *const *__pyx_kwvalues;
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3719:
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3746: """
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3748:
3749: :param all_passes: list of all_pass gens
3750: :return: all_pass_bank gen
3751: :rtype: mus_any
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3756:
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3761:
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3763: """
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3765:
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3771:
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int __pyx_n;
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3977: """
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3979:
3980: :param frequency: frequency of gen
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3982: :param r: amplitude ratio between successive sidebands
3983: :param ratio: ratio between carrier and sideband spacing
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3985: :rtype: mus_any
3986: """
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3989:
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3991:
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3993: """
3994: next sample from asymmetric fm generator.
3995:
3996: :param gen: asymmetric_fm gen
3997: :param index: fm index
3998: :param fm: fm input
3999: :rtype: float
4000: """
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4005:
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4030:
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4032: """
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/* … */
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4069: else:
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4071:
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4073: """
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4076: :param gen: sample2file gem
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4220:
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__Pyx_GetModuleGlobalName(__pyx_t_2, __pyx_n_s_os); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4221, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __pyx_t_3 = __Pyx_PyObject_GetAttrStr(__pyx_t_2, __pyx_n_s_path); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4221, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_isfile); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4221, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __pyx_t_3 = NULL; __pyx_t_4 = 0; #if CYTHON_UNPACK_METHODS if (likely(PyMethod_Check(__pyx_t_2))) { __pyx_t_3 = PyMethod_GET_SELF(__pyx_t_2); if (likely(__pyx_t_3)) { PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_2); __Pyx_INCREF(__pyx_t_3); __Pyx_INCREF(function); __Pyx_DECREF_SET(__pyx_t_2, function); __pyx_t_4 = 1; } } #endif { PyObject *__pyx_callargs[2] = {__pyx_t_3, __pyx_v_filename}; __pyx_t_1 = __Pyx_PyObject_FastCall(__pyx_t_2, __pyx_callargs+1-__pyx_t_4, 1+__pyx_t_4); __Pyx_XDECREF(__pyx_t_3); __pyx_t_3 = 0; if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 4221, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; } __pyx_t_5 = __Pyx_PyObject_IsTrue(__pyx_t_1); if (unlikely((__pyx_t_5 < 0))) __PYX_ERR(0, 4221, __pyx_L1_error) __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_t_6 = (!__pyx_t_5); if (unlikely(__pyx_t_6)) { /* … */ }
+4222: raise FileNotFoundError(f'readin: {filename} does not exist.')
__Pyx_GetModuleGlobalName(__pyx_t_1, __pyx_n_s_FileNotFoundError); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 4222, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __pyx_t_2 = PyTuple_New(3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4222, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __pyx_t_7 = 0; __pyx_t_8 = 127; __Pyx_INCREF(__pyx_kp_u_readin); __pyx_t_7 += 8; __Pyx_GIVEREF(__pyx_kp_u_readin); PyTuple_SET_ITEM(__pyx_t_2, 0, __pyx_kp_u_readin); __pyx_t_3 = __Pyx_PyObject_FormatSimple(__pyx_v_filename, __pyx_empty_unicode); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4222, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_8 = (__Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_3) > __pyx_t_8) ? __Pyx_PyUnicode_MAX_CHAR_VALUE(__pyx_t_3) : __pyx_t_8; __pyx_t_7 += __Pyx_PyUnicode_GET_LENGTH(__pyx_t_3); __Pyx_GIVEREF(__pyx_t_3); PyTuple_SET_ITEM(__pyx_t_2, 1, __pyx_t_3); __pyx_t_3 = 0; __Pyx_INCREF(__pyx_kp_u_does_not_exist); __pyx_t_7 += 16; __Pyx_GIVEREF(__pyx_kp_u_does_not_exist); PyTuple_SET_ITEM(__pyx_t_2, 2, __pyx_kp_u_does_not_exist); __pyx_t_3 = __Pyx_PyUnicode_Join(__pyx_t_2, 3, __pyx_t_7, __pyx_t_8); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4222, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __pyx_t_2 = __Pyx_PyObject_CallOneArg(__pyx_t_1, __pyx_t_3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4222, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_Raise(__pyx_t_2, 0, 0, 0); __Pyx_DECREF(__pyx_t_2); __pyx_t_2 = 0; __PYX_ERR(0, 4222, __pyx_L1_error)
4223:
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__pyx_t_6 = __Pyx_PyObject_IsTrue(__pyx_v_buffer_size); if (unlikely((__pyx_t_6 < 0))) __PYX_ERR(0, 4224, __pyx_L1_error) if (!__pyx_t_6) { } else { __Pyx_INCREF(__pyx_v_buffer_size); __pyx_t_2 = __pyx_v_buffer_size; goto __pyx_L4_bool_binop_done; } __Pyx_GetModuleGlobalName(__pyx_t_3, __pyx_n_s_CLM); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4224, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_1 = __Pyx_PyObject_GetAttrStr(__pyx_t_3, __pyx_n_s_buffer_size); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 4224, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_1); __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; __Pyx_INCREF(__pyx_t_1); __pyx_t_2 = __pyx_t_1; __Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0; __pyx_L4_bool_binop_done:; __Pyx_DECREF_SET(__pyx_v_buffer_size, __pyx_t_2); __pyx_t_2 = 0;
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4226:
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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__pyx_nargs = PyTuple_Size(__pyx_args); if (unlikely(__pyx_nargs < 0)) return NULL;
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__pyx_kwvalues = __Pyx_KwValues_FASTCALL(__pyx_args, __pyx_nargs);
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4228: """
4229: next sample from readin generator (a sound file reader).
4230:
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4232: :rtype: float
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4248: """
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4313: """
4314: return a new convolution generator which convolves its input with the impulse response 'filter'.
4315:
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4317: :param filt: np.array of filter
4318: :param fft_size: fft size used \in the convolution
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4320: :return: convolve gen
4321: :rtype: mus_any
4322: """
4323:
4324: cdef cclm.input_cb cy_input_f_ptr
4325:
4326: cdef double [:] filt_view
4327:
4328:
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/* … */
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4339:
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4342: else :
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if (__pyx_t_1) {
/* … */
}
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4350:
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4398: expansion: Optional[float]=1.0,
4399: length: Optional[float]=.15,
4400: scaler: Optional[float]=.6,
4401: hop: Optional[float]=.05,
4402: ramp: Optional[float]=.4,
4403: jitter: Optional[float]=0.0,
4404: max_size: Optional[int]=0,
+4405: edit=None):
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case 8: if (kw_args > 0) { PyObject* value = __Pyx_GetKwValue_FASTCALL(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_edit); if (value) { values[8] = __Pyx_Arg_NewRef_FASTCALL(value); kw_args--; } else if (unlikely(PyErr_Occurred())) __PYX_ERR(0, 4397, __pyx_L3_error) } } if (unlikely(kw_args > 0)) { const Py_ssize_t kwd_pos_args = __pyx_nargs; if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values + 0, kwd_pos_args, "make_granulate") < 0)) __PYX_ERR(0, 4397, __pyx_L3_error) } } else { switch (__pyx_nargs) { case 9: values[8] = __Pyx_Arg_FASTCALL(__pyx_args, 8); CYTHON_FALLTHROUGH; case 8: values[7] = __Pyx_Arg_FASTCALL(__pyx_args, 7); CYTHON_FALLTHROUGH; case 7: values[6] = __Pyx_Arg_FASTCALL(__pyx_args, 6); CYTHON_FALLTHROUGH; case 6: values[5] = __Pyx_Arg_FASTCALL(__pyx_args, 5); CYTHON_FALLTHROUGH; case 5: values[4] = __Pyx_Arg_FASTCALL(__pyx_args, 4); CYTHON_FALLTHROUGH; case 4: values[3] = __Pyx_Arg_FASTCALL(__pyx_args, 3); CYTHON_FALLTHROUGH; case 3: values[2] = __Pyx_Arg_FASTCALL(__pyx_args, 2); CYTHON_FALLTHROUGH; case 2: values[1] = __Pyx_Arg_FASTCALL(__pyx_args, 1); CYTHON_FALLTHROUGH; case 1: values[0] = __Pyx_Arg_FASTCALL(__pyx_args, 0); break; default: goto __pyx_L5_argtuple_error; } } __pyx_v_inp = values[0]; __pyx_v_expansion = values[1]; __pyx_v_length = values[2]; __pyx_v_scaler = values[3]; __pyx_v_hop = values[4]; __pyx_v_ramp = values[5]; __pyx_v_jitter = values[6]; __pyx_v_max_size = values[7]; __pyx_v_edit = values[8]; } goto __pyx_L6_skip; __pyx_L5_argtuple_error:; __Pyx_RaiseArgtupleInvalid("make_granulate", 0, 1, 9, __pyx_nargs); __PYX_ERR(0, 4397, __pyx_L3_error) __pyx_L6_skip:; goto __pyx_L4_argument_unpacking_done; __pyx_L3_error:; { Py_ssize_t __pyx_temp; for (__pyx_temp=0; __pyx_temp < (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) { __Pyx_Arg_XDECREF_FASTCALL(values[__pyx_temp]); } } __Pyx_AddTraceback("pysndlib.clm.make_granulate", __pyx_clineno, __pyx_lineno, __pyx_filename); __Pyx_RefNannyFinishContext(); return NULL; __pyx_L4_argument_unpacking_done:; 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4406:
4407: """
4408: return a new granular synthesis generator. 'length' is the grain length (seconds), 'expansion' is the
4409: ratio \in timing between the new and old (expansion > 1.0 slows things down), 'scaler' scales the grains
4410: to avoid overflows, 'hop' is the spacing (seconds) between successive grains upon output. 'jitter'
4411: controls the randomness \in that spacing, 'input' can be a file pointer. 'edit' can be a function of one
4412: arg, the current granulate generator. it is called just before a grain is added into the output
4413: buffer. the current grain is accessible via mus_data. the edit function, if any, should return the
4414: length \in samples of the grain, or 0.
4415:
4416: :param inp: gen or function to read from. if a callback, the function takes 1 input, the direction and should return read value
4417: :param expansion: how much to lengthen or compress the file
4418: :param length: length of file slices that are overlapped
4419: :param scaler: amplitude scaler on slices (to avoid overflows)
4420: :param hop: speed at which slices are repeated \in output
4421: :param ramp: amount of slice-time spent ramping up/down
4422: :param jitter: affects spacing of successive grains
4423: :param max_size: internal buffer size
4424: :param edit: grain editing function. the function should take one argument, the granulate mus_any and return length of grain or 0
4425:
4426: """
4427:
4428: cdef cclm.input_cb cy_input_f_ptr
4429: cdef cclm.edit_cb cy_edit_f_ptr
4430:
+4431: if(isinstance(inp, mus_any) and edit is None):
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+4432: res = mus_any.from_ptr(cclm.mus_make_granulate(<cclm.input_cb>input_callback_func, expansion, length, scaler, hop, ramp, jitter, max_size, NULL, <void*>(<mus_any>inp)._ptr))
__pyx_t_4 = __pyx_PyFloat_AsDouble(__pyx_v_expansion); if (unlikely((__pyx_t_4 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4432, __pyx_L1_error) __pyx_t_5 = __pyx_PyFloat_AsDouble(__pyx_v_length); if (unlikely((__pyx_t_5 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4432, __pyx_L1_error) __pyx_t_6 = __pyx_PyFloat_AsDouble(__pyx_v_scaler); if (unlikely((__pyx_t_6 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4432, __pyx_L1_error) __pyx_t_7 = __pyx_PyFloat_AsDouble(__pyx_v_hop); if (unlikely((__pyx_t_7 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4432, __pyx_L1_error) __pyx_t_8 = __pyx_PyFloat_AsDouble(__pyx_v_ramp); if (unlikely((__pyx_t_8 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4432, __pyx_L1_error) __pyx_t_9 = __pyx_PyFloat_AsDouble(__pyx_v_jitter); if (unlikely((__pyx_t_9 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4432, __pyx_L1_error) __pyx_t_10 = __Pyx_PyInt_As_int(__pyx_v_max_size); if (unlikely((__pyx_t_10 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4432, __pyx_L1_error) __pyx_t_2 = ((PyObject *)__pyx_vtabptr_8pysndlib_3clm_mus_any->from_ptr(mus_make_granulate(((input_cb)__pyx_f_8pysndlib_3clm_input_callback_func), __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9, __pyx_t_10, NULL, ((void *)((struct __pyx_obj_8pysndlib_3clm_mus_any *)__pyx_cur_scope->__pyx_v_inp)->_ptr)), NULL)); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4432, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_2); __Pyx_GIVEREF(__pyx_t_2); __pyx_cur_scope->__pyx_v_res = ((struct __pyx_obj_8pysndlib_3clm_mus_any *)__pyx_t_2); __pyx_t_2 = 0;
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__pyx_cur_scope->__pyx_v_res->_inputcallback = ((input_cb)__pyx_f_8pysndlib_3clm_input_callback_func);
+4434: return res
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4435:
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4465: """
4466: next sample from granular synthesis generator.
4467:
4468: :param gen: granulate gen
4469: :rtype: float
4470:
4471: """
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if (__pyx_t_1) {
/* … */
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4476:
4477:
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4479: """
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4481:
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4486:
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4496:
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4505:
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4513: :param synthesize: if used, overrides default. unctions of one argument, the phase_vocoder mus_any.
4514: :return: phase_vocoder gen
4515:
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4519: cdef cclm.edit_cb cy_edit_f_ptr
4520: cdef cclm.analyze_cb cy_analyze_f_ptr
4521: cdef cclm.synthesize_cb cy_synthesize_f_ptr
4522:
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4573:
4574:
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4576: """
4577: next phase vocoder value.
4578:
4579: :param gen: phase_vocoder gen
4580: :rtype: float
4581: """
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4586:
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if (__pyx_t_1) {
/* … */
goto __pyx_L10;
}
+4822: res = mus_any.from_ptr(cclm.mus_make_locsig(degree, distance, reverb, channels, out._ptr, reverb_channels, rout._ptr, interp_type))
__pyx_t_6 = __pyx_PyFloat_AsDouble(__pyx_v_degree); if (unlikely((__pyx_t_6 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4822, __pyx_L1_error) __pyx_t_7 = __pyx_PyFloat_AsDouble(__pyx_v_distance); if (unlikely((__pyx_t_7 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4822, __pyx_L1_error) __pyx_t_8 = __pyx_PyFloat_AsDouble(__pyx_v_reverb); if (unlikely((__pyx_t_8 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4822, __pyx_L1_error) __pyx_t_5 = __Pyx_PyInt_As_int(__pyx_v_channels); if (unlikely((__pyx_t_5 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4822, __pyx_L1_error) __pyx_t_9 = __Pyx_PyInt_As_int(__pyx_v_reverb_channels); if (unlikely((__pyx_t_9 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4822, __pyx_L1_error) __pyx_t_10 = ((mus_interp_t)__Pyx_PyInt_As_mus_interp_t(__pyx_v_interp_type)); if (unlikely(PyErr_Occurred())) __PYX_ERR(0, 4822, __pyx_L1_error) __pyx_t_3 = ((PyObject *)__pyx_vtabptr_8pysndlib_3clm_mus_any->from_ptr(mus_make_locsig(__pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_5, __pyx_v_out->_ptr, __pyx_t_9, __pyx_v_rout->_ptr, __pyx_t_10), NULL)); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4822, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_v_res = ((struct __pyx_obj_8pysndlib_3clm_mus_any *)__pyx_t_3); __pyx_t_3 = 0;
4823: else:
+4824: res = mus_any.from_ptr(cclm.mus_make_locsig(degree, distance, reverb, channels, out._ptr, reverb_channels, NULL , interp_type))
/*else*/ {
__pyx_t_8 = __pyx_PyFloat_AsDouble(__pyx_v_degree); if (unlikely((__pyx_t_8 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4824, __pyx_L1_error)
__pyx_t_7 = __pyx_PyFloat_AsDouble(__pyx_v_distance); if (unlikely((__pyx_t_7 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4824, __pyx_L1_error)
__pyx_t_6 = __pyx_PyFloat_AsDouble(__pyx_v_reverb); if (unlikely((__pyx_t_6 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4824, __pyx_L1_error)
__pyx_t_9 = __Pyx_PyInt_As_int(__pyx_v_channels); if (unlikely((__pyx_t_9 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4824, __pyx_L1_error)
__pyx_t_5 = __Pyx_PyInt_As_int(__pyx_v_reverb_channels); if (unlikely((__pyx_t_5 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4824, __pyx_L1_error)
__pyx_t_10 = ((mus_interp_t)__Pyx_PyInt_As_mus_interp_t(__pyx_v_interp_type)); if (unlikely(PyErr_Occurred())) __PYX_ERR(0, 4824, __pyx_L1_error)
__pyx_t_3 = ((PyObject *)__pyx_vtabptr_8pysndlib_3clm_mus_any->from_ptr(mus_make_locsig(__pyx_t_8, __pyx_t_7, __pyx_t_6, __pyx_t_9, __pyx_v_out->_ptr, __pyx_t_5, NULL, __pyx_t_10), NULL)); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4824, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
__pyx_v_res = ((struct __pyx_obj_8pysndlib_3clm_mus_any *)__pyx_t_3);
__pyx_t_3 = 0;
}
__pyx_L10:;
+4825: return res
__Pyx_XDECREF((PyObject *)__pyx_r); __Pyx_INCREF((PyObject *)__pyx_v_res); __pyx_r = __pyx_v_res; goto __pyx_L0;
4826:
4827: # todo: what if revout is not an iterable? while possible not going to deal with it right now :)
+4828: elif is_list_or_ndarray(output):
__pyx_t_3 = __pyx_f_8pysndlib_3clm_is_list_or_ndarray(__pyx_v_output, 0); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4828, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_t_1 = __Pyx_PyObject_IsTrue(__pyx_t_3); if (unlikely((__pyx_t_1 < 0))) __PYX_ERR(0, 4828, __pyx_L1_error) __Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0; if (likely(__pyx_t_1)) { /* … */ }
+4829: if reverb_channels is None:
__pyx_t_1 = (__pyx_v_reverb_channels == Py_None);
if (__pyx_t_1) {
/* … */
}
+4830: reverb_channels = 0
__Pyx_INCREF(__pyx_int_0); __Pyx_DECREF_SET(__pyx_v_reverb_channels, __pyx_int_0);
4831:
+4832: res = mus_any.from_ptr(cclm.mus_make_locsig(degree, distance, reverb, channels, NULL, reverb_channels, NULL, interp_type))
__pyx_t_6 = __pyx_PyFloat_AsDouble(__pyx_v_degree); if (unlikely((__pyx_t_6 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4832, __pyx_L1_error) __pyx_t_7 = __pyx_PyFloat_AsDouble(__pyx_v_distance); if (unlikely((__pyx_t_7 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4832, __pyx_L1_error) __pyx_t_8 = __pyx_PyFloat_AsDouble(__pyx_v_reverb); if (unlikely((__pyx_t_8 == ((mus_float_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4832, __pyx_L1_error) __pyx_t_5 = __Pyx_PyInt_As_int(__pyx_v_channels); if (unlikely((__pyx_t_5 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4832, __pyx_L1_error) __pyx_t_9 = __Pyx_PyInt_As_int(__pyx_v_reverb_channels); if (unlikely((__pyx_t_9 == (int)-1) && PyErr_Occurred())) __PYX_ERR(0, 4832, __pyx_L1_error) __pyx_t_10 = ((mus_interp_t)__Pyx_PyInt_As_mus_interp_t(__pyx_v_interp_type)); if (unlikely(PyErr_Occurred())) __PYX_ERR(0, 4832, __pyx_L1_error) __pyx_t_3 = ((PyObject *)__pyx_vtabptr_8pysndlib_3clm_mus_any->from_ptr(mus_make_locsig(__pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_5, NULL, __pyx_t_9, NULL, __pyx_t_10), NULL)); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4832, __pyx_L1_error) __Pyx_GOTREF(__pyx_t_3); __pyx_v_res = ((struct __pyx_obj_8pysndlib_3clm_mus_any *)__pyx_t_3); __pyx_t_3 = 0;
+4833: cclm.mus_locsig_set_detour(res._ptr, <cclm.detour_cb>locsig_detour_callback_func)
mus_locsig_set_detour(__pyx_v_res->_ptr, ((detour_cb)__pyx_f_8pysndlib_3clm_locsig_detour_callback_func));
4834:
+4835: return res
__Pyx_XDECREF((PyObject *)__pyx_r); __Pyx_INCREF((PyObject *)__pyx_v_res); __pyx_r = __pyx_v_res; goto __pyx_L0;
4836:
4837: else:
+4838: raise TypeError(f"output needs to be a clm gen or np.array not a {type(output)}")
/*else*/ {
__pyx_t_3 = __Pyx_PyObject_FormatSimple(((PyObject *)Py_TYPE(__pyx_v_output)), __pyx_empty_unicode); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4838, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
__pyx_t_2 = __Pyx_PyUnicode_Concat(__pyx_kp_u_output_needs_to_be_a_clm_gen_or, __pyx_t_3); if (unlikely(!__pyx_t_2)) __PYX_ERR(0, 4838, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_2);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__pyx_t_3 = __Pyx_PyObject_CallOneArg(__pyx_builtin_TypeError, __pyx_t_2); if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 4838, __pyx_L1_error)
__Pyx_GOTREF(__pyx_t_3);
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__Pyx_Raise(__pyx_t_3, 0, 0, 0);
__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;
__PYX_ERR(0, 4838, __pyx_L1_error)
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4839:
+4840: cpdef cython.double locsig(gen: mus_any, loc: int, val: cython.double):
static PyObject *__pyx_pw_8pysndlib_3clm_527locsig(PyObject *__pyx_self,
#if CYTHON_METH_FASTCALL
PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
#else
PyObject *__pyx_args, PyObject *__pyx_kwds
#endif
); /*proto*/
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double __pyx_r;
/* … */
/* function exit code */
__pyx_r = 0;
goto __pyx_L0;
__pyx_L1_error:;
__Pyx_AddTraceback("pysndlib.clm.locsig", __pyx_clineno, __pyx_lineno, __pyx_filename);
__pyx_r = -1;
__pyx_L0:;
return __pyx_r;
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/* Python wrapper */
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#if CYTHON_METH_FASTCALL
PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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PyObject *__pyx_args, PyObject *__pyx_kwds
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); /*proto*/
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#if CYTHON_METH_FASTCALL
PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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PyObject *__pyx_args, PyObject *__pyx_kwds
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#if !CYTHON_METH_FASTCALL
CYTHON_UNUSED Py_ssize_t __pyx_nargs;
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__pyx_nargs = PyTuple_Size(__pyx_args); if (unlikely(__pyx_nargs < 0)) return NULL;
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PyObject* values[3] = {0,0,0};
if (__pyx_kwds) {
Py_ssize_t kw_args;
switch (__pyx_nargs) {
case 3: values[2] = __Pyx_Arg_FASTCALL(__pyx_args, 2);
CYTHON_FALLTHROUGH;
case 2: values[1] = __Pyx_Arg_FASTCALL(__pyx_args, 1);
CYTHON_FALLTHROUGH;
case 1: values[0] = __Pyx_Arg_FASTCALL(__pyx_args, 0);
CYTHON_FALLTHROUGH;
case 0: break;
default: goto __pyx_L5_argtuple_error;
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kw_args = __Pyx_NumKwargs_FASTCALL(__pyx_kwds);
switch (__pyx_nargs) {
case 0:
if (likely((values[0] = __Pyx_GetKwValue_FASTCALL(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_gen)) != 0)) {
(void)__Pyx_Arg_NewRef_FASTCALL(values[0]);
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else if (unlikely(PyErr_Occurred())) __PYX_ERR(0, 4840, __pyx_L3_error)
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CYTHON_FALLTHROUGH;
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if (likely((values[1] = __Pyx_GetKwValue_FASTCALL(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_loc)) != 0)) {
(void)__Pyx_Arg_NewRef_FASTCALL(values[1]);
kw_args--;
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else if (unlikely(PyErr_Occurred())) __PYX_ERR(0, 4840, __pyx_L3_error)
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__Pyx_RaiseArgtupleInvalid("locsig", 1, 3, 3, 1); __PYX_ERR(0, 4840, __pyx_L3_error)
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CYTHON_FALLTHROUGH;
case 2:
if (likely((values[2] = __Pyx_GetKwValue_FASTCALL(__pyx_kwds, __pyx_kwvalues, __pyx_n_s_val)) != 0)) {
(void)__Pyx_Arg_NewRef_FASTCALL(values[2]);
kw_args--;
}
else if (unlikely(PyErr_Occurred())) __PYX_ERR(0, 4840, __pyx_L3_error)
else {
__Pyx_RaiseArgtupleInvalid("locsig", 1, 3, 3, 2); __PYX_ERR(0, 4840, __pyx_L3_error)
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if (unlikely(kw_args > 0)) {
const Py_ssize_t kwd_pos_args = __pyx_nargs;
if (unlikely(__Pyx_ParseOptionalKeywords(__pyx_kwds, __pyx_kwvalues, __pyx_pyargnames, 0, values + 0, kwd_pos_args, "locsig") < 0)) __PYX_ERR(0, 4840, __pyx_L3_error)
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goto __pyx_L5_argtuple_error;
} else {
values[0] = __Pyx_Arg_FASTCALL(__pyx_args, 0);
values[1] = __Pyx_Arg_FASTCALL(__pyx_args, 1);
values[2] = __Pyx_Arg_FASTCALL(__pyx_args, 2);
}
__pyx_v_gen = ((struct __pyx_obj_8pysndlib_3clm_mus_any *)values[0]);
__pyx_v_loc = ((PyObject*)values[1]);
__pyx_v_val = __pyx_PyFloat_AsDouble(values[2]); if (unlikely((__pyx_v_val == (double)-1) && PyErr_Occurred())) __PYX_ERR(0, 4840, __pyx_L3_error)
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goto __pyx_L6_skip;
__pyx_L5_argtuple_error:;
__Pyx_RaiseArgtupleInvalid("locsig", 1, 3, 3, __pyx_nargs); __PYX_ERR(0, 4840, __pyx_L3_error)
__pyx_L6_skip:;
goto __pyx_L4_argument_unpacking_done;
__pyx_L3_error:;
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for (__pyx_temp=0; __pyx_temp < (Py_ssize_t)(sizeof(values)/sizeof(values[0])); ++__pyx_temp) {
__Pyx_Arg_XDECREF_FASTCALL(values[__pyx_temp]);
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return NULL;
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if (unlikely(!__Pyx_ArgTypeTest(((PyObject *)__pyx_v_gen), __pyx_ptype_8pysndlib_3clm_mus_any, 0, "gen", 0))) __PYX_ERR(0, 4840, __pyx_L1_error)
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const char *__pyx_filename = NULL;
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/* function exit code */
goto __pyx_L0;
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__Pyx_GOTREF(__pyx_t_2);
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goto __pyx_L0;
/* function exit code */
__pyx_L1_error:;
__Pyx_XDECREF(__pyx_t_2);
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/* … */
__pyx_tuple__533 = PyTuple_Pack(3, __pyx_n_s_gen, __pyx_n_s_loc, __pyx_n_s_val); if (unlikely(!__pyx_tuple__533)) __PYX_ERR(0, 4840, __pyx_L1_error)
__Pyx_GOTREF(__pyx_tuple__533);
__Pyx_GIVEREF(__pyx_tuple__533);
/* … */
__pyx_t_37 = __Pyx_PyDict_NewPresized(3); if (unlikely(!__pyx_t_37)) __PYX_ERR(0, 4840, __pyx_L1_error)
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if (PyDict_SetItem(__pyx_t_37, __pyx_n_s_gen, __pyx_n_s_mus_any) < 0) __PYX_ERR(0, 4840, __pyx_L1_error)
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__pyx_t_41 = __Pyx_CyFunction_New(&__pyx_mdef_8pysndlib_3clm_527locsig, 0, __pyx_n_s_locsig, NULL, __pyx_n_s_pysndlib_clm, __pyx_d, ((PyObject *)__pyx_codeobj__534)); if (unlikely(!__pyx_t_41)) __PYX_ERR(0, 4840, __pyx_L1_error)
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4841: """
4842: locsig 'gen' channel 'chan' scaler.
4843:
4844: :param gen: locsig gen
4845: :param loc: location to write to \in samples
4846: :param val: sample value
4847: :return: data
4848: :rtype: float
4849: """
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__pyx_t_1 = __Pyx_PyInt_As_int64_t(__pyx_v_loc); if (unlikely((__pyx_t_1 == ((mus_long_t)-1)) && PyErr_Occurred())) __PYX_ERR(0, 4850, __pyx_L1_error) mus_locsig(__pyx_v_gen->_ptr, __pyx_t_1, __pyx_v_val);
4851:
+4852: cpdef bint is_locsig(gen: mus_any):
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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int __pyx_r;
/* … */
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PyObject *const *__pyx_args, Py_ssize_t __pyx_nargs, PyObject *__pyx_kwds
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PyObject *__pyx_args, PyObject *__pyx_kwds
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4898: """
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4900:
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4910: """
4911: move locsig gen to reflect degree and distance.
4912:
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4915: :param distance: new distance
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4918:
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4945:
4946:
4947: #########################################
4948: # basic file reading/writing to/from nympy arrays
4949: # note all of this assumes numpy dtype is np.double
4950: # also assumes shape is (chan, length)
4951: # a mono file that is 8000 samples long should
4952: # be a numpy array created with something like
4953: # arr = np.zeroes((1,8000), dtype=np.double)
4954: # librosa follows this convention
4955: # todo : look at allowing something like np.zeroes((8000), dtype=np.double)
4956: # to just be treated as mono sound buffer
4957: # the python soundfile library does this differently
4958: # and would use
4959: # arr = np.zeros((8000,1), dtype=np.double))
4960: # this seems less intuitive to me
4961: # very issue to translate with simple np.transpose()
4962:
4963:
4964: # cpdef sndinfo(filename):
4965: # """returns a dictionary of info about a sound file including write date (data), sample rate (srate),
4966: # channels (chans), length in samples (samples), length in second (length), comment (comment), and loop information (loopinfo)"""
4967: # date = csndlib.mus_sound_write_date(filename)
4968: # srate = csndlib.mus_sound_srate(filename)
4969: # chans = csndlib.mus_sound_chans(filename)
4970: # samples = csndlib.mus_sound_samples(filename)
4971: # comment = csndlib.mus_sound_comment(filename)
4972: # length = samples / (chans * srate)
4973: #
4974: # header_type = header(mus_sound_header_type(filename))
4975: # sample_type = sample(mus_sound_sample_type(filename))
4976: #
4977: # loop_info = mus_sound_loop_info(filename)
4978: # if loop_info:
4979: # loop_modes = [loop_info[6], loop_info[7]]
4980: # loop_starts = [loop_info[0], loop_info[2]]
4981: # loop_ends = [loop_info[1], loop_info[3]]
4982: # base_note = loop_info[4]
4983: # base_detune = loop_info[5]
4984: #
4985: # loop_info = {'sustain_start' : loop_starts[0], 'sustain_end' : loop_ends[0],
4986: # 'release_start' : loop_starts[2], 'release_end' : loop_ends[1],
4987: # 'base_note' : base_note, 'base_detune' : base_detune,
4988: # 'sustain_mode' : loop_modes[0], 'release_mode' : loop_modes[1]}
4989: #
4990: # info = {'date' : time.localtime(date), 'srate' : srate, 'chans' : chans, 'samples' : samples,
4991: # 'comment' : comment, 'length' : length, 'header_type' : header_type, 'sample_type' : sample_type,
4992: # 'loop_info' : loop_info}
4993: # return info
4994:
4995: # def sound_loop_info(filename):
4996: # """returns a dictionary of info about a sound file including write date (data), sample rate (srate),
4997: # channels (chans), length in samples (samples), length in second (length), comment (comment), and loop information (loopinfo)"""
4998: #
4999: # loop_info = sndlib.mus_sound_loop_info(filename)
5000: # if loop_info:
5001: # loop_modes = [loop_info[6], loop_info[7]]
5002: # loop_starts = [loop_info[0], loop_info[2]]
5003: # loop_ends = [loop_info[1], loop_info[3]]
5004: # base_note = loop_info[4]
5005: # base_detune = loop_info[5]
5006: #
5007: # loop_info = {'sustain_start' : loop_starts[0], 'sustain_end' : loop_ends[0],
5008: # 'release_start' : loop_starts[2], 'release_end' : loop_ends[1],
5009: # 'base_note' : base_note, 'base_detune' : base_detune,
5010: # 'sustain_mode' : loop_modes[0], 'release_mode' : loop_modes[1]}
5011: # return info
5012: #
5013: # cpdef np.ndarray file2array(filename: str, channel: Optional[int]=0, beg: Optional[int]=None, dur: Optional[int]=None):
5014: # """
5015: # return an ndarray with samples from file
5016: # """
5017: # length = dur or csndlib.mus_sound_framples(filename)
5018: # chans = csndlib.mus_sound_chans(filename)
5019: # srate = csndlib.mus_sound_srate(filename)
5020: # bg = beg or 0
5021: # out = np.zeros(length, dtype=np.double)
5022: #
5023: # cdef double [:] out_view = None
5024: # out_view = out
5025: #
5026: # csndlib.mus_file_to_array(filename,channel, bg, length, &out_view[0])
5027: # return out
5028: #
5029: # def channel2array(filename: str, channel: Optional[int]=0, beg: Optional[int]=None, dur: Optional[int]=None):
5030: # length = dur or mus_sound_framples(filename)
5031: # srate = mus_sound_srate(filename)
5032: # bg = beg or 0
5033: # out = np.zeros((1, length), dtype=np.double)
5034: # mus_file_to_array(filename,channel, bg, length, out[0].ctypes.data_as(ctypes.pointer(ctypes.c_double)))
5035: # return out
5036: #
5037: # def calc_length(start, dur):
5038: # st = seconds2samples(start)
5039: # nd = seconds2samples(start+dur)
5040: # return st, nd
5041: #
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